Discover 67 articles on Monitoring in mobile performance
Showing 20 of 67 articles (Page 2 of 4)
Real User Monitoring isn't just a performance tool. It's the bridge between what you think users experience and what actually happens in production.
Diego Parra from Mercado Libre's Performance Engineering team just shared how they slashed API response times by 60% with one strategic fix. The culprit? Regex compilations eating 40% of CPU cycles.
Your mobile app's first impression isn't just important. It's everything. The Fullstory Team breaks down why most teams are optimizing blind, relying on assumptions instead of actual user behavior data.
DoorDash was shipping experiments that crashed their app and degraded performance for weeks before anyone could identify the cause. They built an automated system to catch issues before customers feel the pain.
Yassir Ramdani and Austin Lai from Datadog built a custom SwiftUI graphing library that renders thousands of data points without lag. Here's how they debugged performance bottlenecks that most iOS developers ne...
Performance testing in React Native often feels reactive and chaotic. Callstack's engineering team shows how borrowing a Six Sigma methodology can turn it into a repeatable, data-driven process.
Supriyo Mondal from Walmart reveals how they shaved 500-600ms off view rendering times by changing a single boolean flag. Sometimes the biggest performance wins come from the smallest tweaks.
Edward Gou from Sentry reveals why their performance scores were lying to developers. A single slow pageload could tank your entire app's score, even when 99% of users had fast experiences.
Mercari rewrote their entire mobile app and faced a nightmare scenario: millions of users reporting the new version felt slower than the old one.
Anatole Beuzon and Bowen Chen from Datadog turned what seemed like a simple deployment alert into a months-long debugging odyssey. What they uncovered reveals how deceptively complex network latency issues can ...
Markus Hintersteiner from Sentry reveals how they cracked a tricky problem: tracking user interactions in Jetpack Compose without cluttering developers' code or killing performance.
Liang Ma and Wei Zhu from Pinterest built a JSON logging system that catches production issues hours before traditional metrics even notice. Here's how they gave mobile teams real-time visibility into 300 billi...
Indragie Karunaratne from Sentry reveals how they built a production-ready iOS profiler that runs on millions of real user devices. Most profilers only work locally, but this one collects real-world performance...
Your app crashes in production and you have no idea why. Callstack breaks down the monitoring strategies that catch issues before your users do.
Ahmed Alnaami from AirAsia reveals how they solved a debugging nightmare: tracking network traffic across Native, React Native, and WebViews in one super app.
JP Simard from Lyft reveals how they replaced URLSession and OkHttp across all their mobile apps with a single networking library—and the results weren't what anyone expected.
Coinbase scaled from a handful of engineers on one platform to four platforms with zero standardized performance measurement. How do you unify performance tracking across web, mobile, backend, and extensions?
Alexander Dadukin and Dhriti Chawla reveal what it's like being the only 2 Android engineers supporting analytics infrastructure for all of Yelp. Spoiler: they can't see or touch what they build.
Swiggy was drowning in analytics chaos. Thousands of events per session, scattered specs across docs, and manual verification eating up engineering time.
Lyft's Android app serves millions of users daily, but how do you track CPU performance when hundreds of engineers ship code constantly? The team built a custom monitoring system from scratch.